Simulation Results: PIF London Championship

Player Win % TT Odds Best Odds Kelly Result P/L E/W Play
Adela Cernousek 0.11% 909 351 4
Aditi Ashok 1.16% 86 67 34
Agathe Sauzon 0.05% 2000 401 61
Alessandra Fanali 0.63% 159 67 25
Alessia Nobilio 0.01% 10000 551 81
Alexandra Forsterling 0.20% 500 141 81
Alexandra Swayne 0.06% 1667 351 30
Alice Hewson 1.08% 93 67 4
Amelia Garvey 0.85% 118 61 30
Amy Taylor 0.02% 5000 751 25
Anna Foster 0.30% 333 161 87
Anna Huang 0.23% 435 351 66
Anna Magnusson 0.01% 10000 751 63
Anna Zanusso 0.02% 5000 551 81
Annabel Wilson 0.00% 10000 551 49
Annabell Fuller 0.23% 435 176 91
Anne Van Dam 1.01% 99 46 3
April Angurasaranee 0.05% 2000 376 66
Ariane Klotz 0.02% 5000 97
Aunchisa Utama 0.04% 2500 401 34
Avani Prashanth 0.14% 714 201 81
Ayako Uehara 0.13% 769 161 57
Billie-Jo Smith 0.00% 10000 751 87
Blanca Fernandez 0.02% 5000 351 57
Brianna Navarrosa 0.10% 1000 151 14
Bronte Law 1.02% 98 56 34
Cara Gainer 1.35% 74 67 17
Carlota Ciganda 1.70% 59 23 11
Carmen Alonso 0.00% 10000 1001 102
Casandra Alexander 1.93% 52 36 14
Celine Boutier 13.51% 7.4 7.5 0.20% 19 -0.2 QuinnBet: 6.5/1, 5pl, 1/4
Celine Herbin 0.28% 357 176 66
Charley Hull 28.20% 3.5 5.5 12.20% QuinnBet: 4.5/1, 5pl, 1/4
Charlotte Laffar 0.01% 10000 401 81
Chiara Noja 0.05% 2000 201 41
Chiara Tamburlini 2.74% 36 19 19
Chloe Williams 0.17% 588 176 59
Daniela Darquea 0.51% 196 161 2
Darcey Harry 1.06% 94 41 30
Diksha Dagar 0.97% 103 67 19
Dorthea Forbrigd 0.14% 714 251 49
Eleanor Givens 0.03% 3333 551 61
Emily Kristine Pedersen 4.11% 24 19 19
Emma Spitz 1.10% 91 67 44
Fatima Fernandez Cano 0.19% 526 126 99
Georgia Hall 10.79% 9.3 17 5.20% 25 -5.2 Spreadex: 16/1, 6pl, 1/5
Ginnie Ding 0.05% 2000 351 34
Hannah Screen 0.76% 132 51 81
Helen Briem 1.50% 67 23 66
Jess Baker 0.00% 10000 601 101
Johanna Wrigley 0.19% 526 176 87
Kajsa Arwefjall 0.86% 116 81 25
Kelsey Bennett 0.21% 476 111 49
Kelsey Macdonald 0.00% 10000 1501 78
Kim Metraux 0.03% 3333 351 4
Kirsten Rudgeley 0.37% 270 126 49
Klara Davidson Spilkova 0.12% 833 126 87
Kristyna Napoleaova 0.01% 10000 551 41
Laura Fuenfstueck 0.17% 588 176 1
Lauren Walsh 0.76% 132 67 34
Lee-Anne Pace 0.61% 164 81 4
Lisa Pettersson 0.20% 500 301 66
Liz Young 0.09% 1111 451 44
Lorna Mcclymont 0.03% 3333 401 91
Luna Sobron Galmes 0.37% 270 101 41
Maha Haddioui 0.04% 2500 751 49
Manon De Roey 1.83% 55 46 4
Maria Hernandez 0.05% 2000 351 63
Marianne Skarpnord 0.00% 10000 751 91
Marta Martin 0.03% 3333 551 30
Marta Sanz Barrio 0.00% 10000 2001 17
Megan Dennis 0.00% 10000 1501 91
Meghan MacLaren 0.01% 10000 551 44
Mimi Rhodes 1.77% 56 23 4
Moa Folke 0.23% 435 176 11
Momoka Kobori 0.13% 769 226 25
Nastasia Nadaud 1.14% 88 51 66
Natacha Host Husted 0.01% 10000 751 49
Noora Komulainen 0.10% 1000 251 34
Nuria Iturrioz 0.33% 303 111 99
Olivia Cowan 1.12% 89 126 0.30% 4 1.0821428571429 Bet365: 125/1, 5pl, 1/4
Paris Hilinski 0.00% 10000 1251 104
Patricia Isabel Schmidt 0.06% 1667 111 66
Patty Tavatanakit 1.83% 55 23 14
Pauline Roussin-Bouchard 1.52% 66 61 66
Perrine Delacour 3.11% 32 34 0.20% 11 -0.2 Spreadex: 33/1, 6pl, 1/5
Pia Babnik 0.25% 400 126 19
Polly Mack 0.60% 167 101 91
Pranavi Urs 0.22% 455 141 44
Rosie Davies 0.00% 10000 1001 44
Sara Byrne 0.05% 2000 451 78
Sara Kouskova 0.30% 333 91 66
Sarah Kemp 0.14% 714 226 59
Sarah Schober 0.01% 10000 551 66
Shannon Tan 2.06% 49 29 19
Smilla Tarning Soenderby 0.06% 1667 201 91
Sofie Bringner 0.01% 10000 601 34
Teresa Toscano 0.06% 1667 451 66
Tina Mazarino 0.04% 2500 551 49
Trichat Cheenglab 0.11% 909 176 65
Trish Johnson 0.00% 10000 2501 102
Ursula Wikstrom 0.03% 3333 401 97
Virginia Elena Carta 0.06% 1667 251 78
Yani Tseng 0.08% 1250 251 66

The data in the above table is as follows:

The Top3 Plays table highlights the three advised each-way plays in the win and FRL markets. Each play is of equal stake with a total of 6pts in both the win and FRL markets.

The TT Win Probabilities displayed above are the result of a Monte Carlo simulation of each round of a tournament, using individual player inputs and a probability distribution. This method is particularly useful in golf given the number of players in a tournament and the complex process within modelling player scores.

To determine the number of replications R, this is typically set at 10 / e2, where e is the relative error in the bias assessment (precision measure). With 100,000 replications, e falls to less than 1%, which is the target relative error.

This table will be populated with the simulation results as soon as there are sufficient win odds available to advise plays. The FRL probabilities and advised plays will not appear publication of tee-times for events with split rd1 tee-times.

While TT Win Probabilities will be provided for all markets available via the buttons above the table, each-way plays will only be advised for win and FRL markets.

TT Win Probabilities (including results) are available for all past events via the 'Archives' here.

Full P/L breakdown per market and per event since 2024 is available here.

Odds
This week's odds

Betfair: PGA Tour

Betfair: DP World Tour


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